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http://krishi.icar.gov.in/jspui/handle/123456789/5840
Title: | Statistical approach for gene set analysis with trait specific quantitative trait loci |
Other Titles: | Not Available |
Authors: | Samarendra Das Anil Rai, Dwijesh C. Mishra Shesh N. Rai |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute JG Brown Cancer Center and Department of Bioinformatics and Biostatistics, University of Louisville, Louisville |
Published/ Complete Date: | 2018-02-05 |
Project Code: | Not Available |
Keywords: | QTL Gene set analysis GSAQ |
Publisher: | Macmillan Publishers Limited, part of Springer Nature |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | The analysis of gene sets is usually carried out based on gene ontology terms and known biological pathways. These approaches may not establish any formal relation between genotype and trait specific phenotype. In plant biology and breeding, analysis of gene sets with trait specific Quantitative Trait Loci (QTL) data are considered as great source for biological knowledge discovery. Therefore, we proposed an innovative statistical approach called Gene Set Analysis with QTLs (GSAQ) for interpreting gene expression data in context of gene sets with traits. The utility of GSAQ was studied on five different complex abiotic and biotic stress scenarios in rice, which yields specific trait/stress enriched gene sets. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Scientific Reports |
NAAS Rating: | 10 |
Volume No.: | 8 |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://www.nature.com/articles/s41598-018-19736-w 10.1038/s41598-018-19736-w |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/5840 |
Appears in Collections: | AEdu-IASRI-Publication |
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